Hongda Zhong

Hongda Zhong

Institution

University of Texas at Dallas

PhD Year

2015

Email

zhonghongda@gmail.com

FTG Membership

Member

Website

https://sites.google.com/site/zhonghongda/

Featured Work

Jan 18, 2025

Hongda Zhong | Working Paper No. 00146-00

Optimal Integration: Human, Machine, and Generative AI

I study the optimal integration of humans and technologies in multi-layered decision-making processes. Each layer can correct existing errors but may also introduce new ones. A one-dimensional quality metric – a decision-maker’s error correction capability normalized by its new errors – determines the optimal rule: deploying higher-quality technologies in later stages. Interestingly, the final decision-making layer may not achieve the greatest error reduction; instead, its...


Jan 18, 2025

Hongda Zhong, Zhen Zhou | Working Paper No. 00147-00

Dynamic Coordination and Bankruptcy Regulations

Many regulations aim at promoting coordination among creditors in bankruptcy by ex post restricting their ability to exit distressed firms. However, such restrictions may harm creditors’ ex ante incentives to stay invested, thereby worsening coordination outcomes. We build a dynamic coordination model to show how this force shapes creditor runs, bankruptcy filings, and regulation designs. Intriguingly, filing for bankruptcy early, thereby preserving more assets for...


Dec 30, 2016

Hongda Zhong | Working Paper No. 00011-00

A Dynamic Model of Optimal Creditor Dispersion

Firms often choose to raise capital from multiple creditors even though doing so may lead to inefficient liquidation caused by coordination failure. Potential coordination failure can, however, improve a firm’s incentive to repay its debt, thus increasing its debt capacity. Given this trade-off between higher liquidation risk and enhanced pledgeability, it is important to understand how firms choose the number of creditors and how this...